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Texas A&M University College of Engineering

Machine Learning

Valasek Gives NASA Jet Propulsion Laboratory AI Seminar on Cycle of Learning Research

Posted on August 23, 2021 by Garrett Jares

Valasek, John

Dr. John Valasek

Dr. John Valasek, Professor in the Department of Aerospace Engineering at Texas A&M University and Director of the Vehicle Systems & Control Laboratory, gave a virtual seminar titled “Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time” for the AI Seminar Series hosted by the NASA Jet Propulsion Laboratory (JPL).  The date of the seminar was 18 August 2021.

Cycle-of-Learning (CoL) (https://www.youtube.com/watch?v=AQwsk6kZfok) was presented as a framework using an actor-critic architecture with a loss function that combines behavior cloning and 1-step Q-learning losses with an off-policy pre-training step from human demonstrations.  This enables transition from behavior cloning to reinforcement learning without performance degradation and improves reinforcement learning in terms of overall performance and training time.  This approach is shown to outperform state-of-the-art techniques for combining behavior cloning and reinforcement learning, for both dense and sparse reward scenarios. Results are presented for haptic and eye tracking input modalities, and suggest that directly including the behavior cloning loss on demonstration data helps to ensure stable learning and ground future policy updates.

Filed Under: Machine Learning, Presentations

VSCL Student Vinicius G. Goecks Graduates with Doctor of Philosophy

Posted on June 15, 2020 by Hannah Lehman

VSCL alumni Vinicius G. Goecks, who graduated with his Doctor of Philosophy degree in May 2020, has started his postdoctoral position at the US Army Research Laboratory, Aberdeen Proving Ground, MD.  At the US Army Research Laboratory, Vinicius will be developing novel algorithms on human-in-the-loop reinforcement learning assisted by eye gaze and natural language commands applied to tasks where unmanned robotic agents are teamed with humans.  He had joined VSCL in 2016 and had previously participated in Summer internships at the US Army Research Laboratory in 2017, 2018, and 2019.

Filed Under: Graduation, Machine Learning

Cycle-of-Learning for Autonomous Systems from Human Interaction Presented by Vinicius Goecks at AAAI-19 Conference

Posted on March 14, 2019 by Garrett Jares

VSCL Graduate Research Assistant Vinicius Goecks presented a paper on Cycle-of-Learning for Autonomous Systems from Human Interaction at the Conference on Artificial Intelligence AAAI-19 on 31 January. Co-authored by researchers from the US Army Research Laboratory’s Human Research and Engineering Directorate, this continuing project investigates how to utilize different forms of human interaction to safely train autonomous systems in real-time by learning from both human demonstrations and interventions. This method improves task completion performance for the same amount of human interaction when compared to learning from demonstrations alone, while also requiring on average 32% fewer data to achieve that performance. This provides evidence that combining multiple modes of human interaction can increase both the training speed and overall performance of policies for autonomous systems. The paper documenting this work is “Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time,” AAAI-2019-6613.

 

Filed Under: Machine Learning, Presentations

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